Presentation Materials in powerpoint format. Pdf will be added later.
Chapter 1 – Problems to Be Solved
Chapter 2 – Evolutionary Computing: The Origins
Chapter 3 – What is an Evolutionary Algorithm?
Chapter 4 – Representation, Mutation, Recombination
Chapter 5 – Fitness, Selection, Population Management
Chapter 6 – Popular EA Variants (without movies)
Chapter 7 – Parameters and Parameter Tuning
Chapter 9 – Working with Evolutionary Algorithms
ChapterĀ 10 – Hybridisation with Other Techniques: Memetic Algorithms
Chapter 11 – Nonstationary and Noisy Function Optimisation
ChapterĀ 12 – Multiobjective Evolutionary Algorithms
Chapter 13 – Constraint Handling
ChapterĀ 14 – Interactive Evolutionary Algorithms
Chapter 15 – Coevolutionary Systems